BUILDER · charts & dashboards built live · synthetic data
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Compare opens vs clicks by year
Which audience has the most unsubscribes?
Show click rate trend over time
Top 5 campaigns by opens
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Real campaign data. Engagement rates from 20,000 campaign sends (2021–2024). We lead with rates — open rate, click-through, unsubscribe rate — because they're the reliable signal; absolute volumes in the source are synthetic-scale and left out on purpose. Filter by campaign or audience to slice the trend.
Open rate by year
Email content characteristics. Extracted from 1,244 QC emails (subject + body feature pipeline): sentiment, tone, readability, structure. Descriptive for now — tying these to engagement is pending a data join, but the content patterns themselves are real.
⚠ Demonstration — synthetic signal. The QC campaign data has no real relationship between content and engagement, so to show how driver analysis works, a realistic signal was injected into a copy of the data. The correlations below are honestly computed — but on constructed data, not live campaign performance. This illustrates the analysis for review; it is not a finding about real campaigns. r is the correlation coefficient between that feature and open rate, ranging from -1 to +1: positive means the feature tends to rise with open rate, negative means it tends to fall, and values closer to 0 mean a weaker relationship.
Ask about the campaign data. Question the real aggregated rates in plain language. Answers are grounded strictly in the data — Claude only cites numbers we computed and will say when something can't be answered or when engagement is steady across the board.
Delivery & bounce analysis. Real campaign data — delivery and failure rates across 1,244 sends. This is the "reduce rejection" view: overall delivery health, where bounces concentrate, and outlier sends worth investigating.